Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems-Reference-Cited by-同舟云学术

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Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems

Published:2024-08 Issue:8 Volume:11 Page:1786-1801
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Qi Sheng¹^ORCID,Wang Rui¹^ORCID,Zhang Tao¹^ORCID,Huang Weixiong¹^ORCID,Yu Fan²^ORCID,Wang Ling³^ORCID

Affiliation:

1. College of Systems Engineering, National University of Defense Technology,Changsha,China,410073

2. College of Transportation and Engineering, Central South University,Changsha,China,410073

3. Tsinghua University,Department of Automation,Beijing,China,100084

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6570654/10605755/10605759.pdf?arnumber=10605759

Reference55 articles.

1. Optimization of blockchain investment portfolio under artificial bee colony algorithm

2. Optimization models in emergency logistics: A literature review

3. An overview of population-based algorithms for multi-objective optimisation

4. Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts

5. Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization

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